GTM systems.
From data to outreach.

I refined which companies and people the campaign should target, and the criteria used to select them.

I changed how leads were scraped so the source lists matched the revised ICP.

I updated the mailbox setup and sending settings before launching the campaigns.

Identify missing contact fields and reuse the information already in the stack.

Cross-check profiles and contact details against the original person and company information.

Save confirmed matches and list what still needs verification.

Check mailbox settings, authentication, warnings, and bounce history.

Apply agreed settings and isolate confirmed problems.

Read back the changes and hand over any repairs that still need the provider.

Use the audience’s needs and the agreed offer to choose the opening.

Write the emails, follow-ups, and variants, then save them in the sending tool.

Check what each recipient will see, including empty fields and signatures.

Collect the campaign totals and define how replies are counted.

Read the actual messages before treating a label as sales interest.

Give the team a clear follow-up list and explain the limits of the figures.

List which mailboxes are assigned to each campaign.

Check the limits of mailboxes used by more than one campaign.

Recommend assignment changes only where the evidence shows a need.

Bring together usage, activity, and contact data.

Score the signals separately and keep gaps visible.

Give the team a ranked list and the rules used to create it.

Collect the tables and identify the same users across them.

Resolve duplicates and apply the agreed exclusions.

Create segment tables that can be updated using the same rules.

Keep identity fields unchanged and create a separate greeting field.

Use the shared rules for accents, compound names, and missing values.

Check matching results in scripts and Clay before using the field in a campaign.